{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lee SHR"],"funding":["MOH | National Medical Research Council","American Lebanese Syrian Associated Charities","NCI NIH HHS","NIGMS NIH HHS","U.S. Department of Health & Human Services | National Institutes of Health"],"pagination":["170-179"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9873558"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["29(1)"],"pubmed_abstract":["Contemporary chemotherapy for childhood acute lymphoblastic leukemia (ALL) is risk-adapted based on clinical features, leukemia genomics and minimal residual disease (MRD); however, the pharmacological basis of these prognostic variables remains unclear. Analyzing samples from 805 children with newly diagnosed ALL from three consecutive clinical trials, we determined the ex vivo sensitivity of primary leukemia cells to 18 therapeutic agents across 23 molecular subtypes defined by leukemia genomics. There was wide variability in drug response, with favorable ALL subtypes exhibiting the greatest sensitivity to L-asparaginase and glucocorticoids. Leukemia sensitivity to these two agents was highly associated with MRD although with distinct patterns and only in B cell ALL. We identified six patient clusters based on ALL pharmacotypes, which were associated with event-free survival, even after adjusting for MRD. Pharmacotyping identified a T cell ALL subset with a poor prognosis that was sensitive to targeted agents, pointing to alternative therapeutic strategies. Our study comprehensively described the pharmacological heterogeneity of ALL, highlighting opportunities for further individualizing therapy for this most common childhood cancer."],"journal":["Nature medicine"],"pubmed_title":["Pharmacotypes across the genomic landscape of pediatric acute lymphoblastic leukemia and impact on treatment response."],"pmcid":["PMC9873558"],"funding_grant_id":["P50 GM115279","P30 CA021765","GM115279, GM141947, CA264837, CA264610, CA021765","R35 CA197695","003/008-258","R01 CA264837","U01 CA264610","R35 GM141947"],"pubmed_authors":["Cheng C","Evans WE","Jeha S","Inaba H","Williams H","Crews KR","Pui CH","Relling MV","Yang W","Roberts KG","Yang JJ","Gocho Y","Maxwell D","Karol SE","Rosner GL","Rowland L","Mullighan CG","Smart B","Lee SHR","Hunt J","John A"],"additional_accession":[]},"is_claimable":false,"name":"Pharmacotypes across the genomic landscape of pediatric acute lymphoblastic leukemia and impact on treatment response.","description":"Contemporary chemotherapy for childhood acute lymphoblastic leukemia (ALL) is risk-adapted based on clinical features, leukemia genomics and minimal residual disease (MRD); however, the pharmacological basis of these prognostic variables remains unclear. Analyzing samples from 805 children with newly diagnosed ALL from three consecutive clinical trials, we determined the ex vivo sensitivity of primary leukemia cells to 18 therapeutic agents across 23 molecular subtypes defined by leukemia genomics. There was wide variability in drug response, with favorable ALL subtypes exhibiting the greatest sensitivity to L-asparaginase and glucocorticoids. Leukemia sensitivity to these two agents was highly associated with MRD although with distinct patterns and only in B cell ALL. We identified six patient clusters based on ALL pharmacotypes, which were associated with event-free survival, even after adjusting for MRD. Pharmacotyping identified a T cell ALL subset with a poor prognosis that was sensitive to targeted agents, pointing to alternative therapeutic strategies. Our study comprehensively described the pharmacological heterogeneity of ALL, highlighting opportunities for further individualizing therapy for this most common childhood cancer.","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2026-05-10T06:58:09.551Z","creation":"2025-04-05T20:22:59.191Z"},"accession":"S-EPMC9873558","cross_references":{"pubmed":["36604538"],"doi":["10.1038/s41591-022-02112-7"]}}